Top Tech Jobs & Startup Jobs in NYC, NY

Lead the design, architecture, deployment, optimization, and maintenance of large-scale enterprise cloud, WAN, and data center networks. Manage global site deployments from requirements through operational handover, automate network workflows with Python and Ansible, troubleshoot complex network issues, maintain documentation, and coordinate internal teams and vendors. Own project timelines, resources, budgets, and delivery while implementing modern routing, switching, firewall, load-balancing, and data center technologies.

Build NeMo Evaluator and agentic AI infrastructure using Python APIs, SDKs, plugins, and evaluation workflows. Develop systems for agent execution data, regression detection, observability, reliability, and performance across distributed, cloud-native environments. Collaborate across research, product, platform, and infrastructure teams while providing technical leadership, mentoring, and ownership of complex cross-component problems.

Lead software and system architecture for NVIDIA’s cloud networking, security, DPU, and NIC technologies. Responsibilities include designing end-to-end hardware-to-application solutions, researching technologies, writing architecture specifications, developing proof-of-concept prototypes, solving complex technical problems, and collaborating with global engineering, product, customer, and field teams. The role requires strong C and Python development, Linux, cloud networking, networking protocols, and systems architecture experience.

Build, validate, deploy, tune, monitor, and retire high-confidence security detections across SIEM, endpoint, cloud, identity, SaaS, developer, and AI environments. Translate incidents, threat intelligence, hunts, and red-team findings into tested detection logic. Improve detection-as-code workflows, telemetry quality, coverage tracking, and alert context while reducing false positives. Partner with responders and security teams, conduct reviews, document operational content, and coach analysts and engineers.

Develop platform software using container runtimes and Kubernetes to enable GPU-accelerated applications. Design systems software for container orchestration, cloud-native environments, and distributed systems. Integrate software across NVIDIA engineering teams while addressing performance, security, reliability, and evolving priorities. The role involves Rust and Go development, Linux system internals, container sandboxing, confidential computing, virtualization, and GPU resource management.

Create and deliver developer-focused technical content and workshops that teach CUDA and NVIDIA GPU technologies. Evaluate new CUDA features, produce tutorials and blog posts, capture developer feedback to inform product decisions, and collaborate across product, engineering, and marketing teams to drive developer adoption.

Research and implement GPU-acceleration techniques for high-performance databases and ETL. Analyze and optimize data-intensive workloads, collaborate with hardware, systems, and research teams to influence next-generation architectures and programming models, and publish/share findings with customers and the community.

Lead architecture for cloud-networking and design system architectures for DPUs and NICs. Build end-to-end solutions from application to hardware, write architecture specifications, evaluate new technologies, develop POCs, and collaborate globally with SW/HW teams and customers.

Provide advanced technical support for NVIDIA InfiniBand, NVLink and GPU-based HPC/AI infrastructure. Troubleshoot installations, networking and interoperability issues on multi-distro Linux, reproduce and resolve customer problems, use packet analysis and cluster tools, and collaborate with engineering, marketing, and support teams to improve processes and documentation.

Prototype and integrate GPU-accelerated distributed data processing, compression, databases, and analytics solutions. Optimize complex data-intensive workloads across heterogeneous CPU/GPU architectures, collaborate on next-generation hardware and software designs, and work with customers and cloud service providers to deploy solutions and influence open standards. The role requires deep expertise in parallel programming, C/C++, accelerator architecture, memory systems, and compression or distributed data systems.